{"title":"深度多卷积堆叠胶囊网络从增强的步态能量图像中培养人体步态识别","authors":"P. Nithyakani, M. Ferni Ukrit","doi":"10.1007/s11760-023-02851-1","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":54393,"journal":{"name":"Signal Image and Video Processing","volume":"36 25","pages":"0"},"PeriodicalIF":2.0000,"publicationDate":"2023-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Deep multi-convolutional stacked capsule network fostered human gait recognition from enhanced gait energy image\",\"authors\":\"P. Nithyakani, M. Ferni Ukrit\",\"doi\":\"10.1007/s11760-023-02851-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":54393,\"journal\":{\"name\":\"Signal Image and Video Processing\",\"volume\":\"36 25\",\"pages\":\"0\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Signal Image and Video Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s11760-023-02851-1\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal Image and Video Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11760-023-02851-1","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
期刊介绍:
The journal is an interdisciplinary journal presenting the theory and practice of signal, image and video processing. It aims at:
- Disseminating high level research results and engineering developments to all signal, image or video processing researchers and research groups.
- Presenting practical solutions for the current signal, image and video processing problems in Engineering and Science.
Subject areas covered by the journal include but are not limited to:
Adaptive processing – biomedical signal processing – multimedia signal processing – communication signal processing – non-linear signal processing – array processing – statistics and statistical signal processing – modeling – filtering – data science – graph signal processing – multi-resolution signal analysis and wavelets – segmentation – coding – restoration – enhancement – storage and retrieval – colour and multi-spectral processing – scanning – displaying – printing – interpolation – image processing - video processing-motion detection and estimation – stereoscopic processing – image and video coding.